spatstat v1.21-6
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Spatial Point Pattern analysis, model-fitting, simulation, tests
A package for analysing spatial data, mainly Spatial Point
Patterns, including multitype/marked points and spatial
covariates, in any two-dimensional spatial region. Also
supports three-dimensional point patterns, and space-time point
patterns in any number of dimensions. Contains over 1000
functions for plotting spatial data, exploratory data analysis,
model-fitting, simulation, spatial sampling, model diagnostics,
and formal inference. Data types include point patterns, line
segment patterns, spatial windows, pixel images and
tessellations. Exploratory methods include K-functions, nearest
neighbour distance and empty space statistics, Fry plots, pair
correlation function, kernel smoothed intensity, relative risk
estimation with cross-validated bandwidth selection, mark
correlation functions, segregation indices, mark dependence
diagnostics etc. Point process models can be fitted to point
pattern data using functions ppm, kppm, slrm similar to glm.
Models may include dependence on covariates, interpoint
interaction, cluster formation and dependence on marks. Fitted
models can be simulated automatically. Also provides facilities
for formal inference (such as chi-squared tests) and model
diagnostics (including simulation envelopes, residuals,
residual plots and Q-Q plots).
Functions in spatstat
| Name | Description | |
| Extract.im | Extract Subset of Image | |
| angles.psp | Orientation Angles of Line Segments | |
| Hest | Spherical Contact Distribution Function | |
| anova.ppm | ANOVA for Fitted Point Process Models | |
| G3est | Nearest Neighbour Distance Distribution Function of a Three-Dimensional Point Pattern | |
| DiggleGratton | Diggle-Gratton model | |
| alltypes | Calculate Summary Statistic for All Types in a Multitype Point Pattern | |
| concatxy | Concatenate x,y Coordinate Vectors | |
| as.data.frame.im | Convert Pixel Image to Data Frame | |
| affine.ppp | Apply Affine Transformation To Point Pattern | |
| bdist.points | Distance to Boundary of Window | |
| as.polygonal | Convert a Window to a Polygonal Window | |
| Emark | Diagnostics for random marking | |
| affine.psp | Apply Affine Transformation To Line Segment Pattern | |
| crossdist.ppx | Pairwise Distances Between Two Different Multi-Dimensional Point Patterns | |
| Kest.fft | K-function using FFT | |
| bounding.box | Bounding Box of a Window or Point Pattern | |
| is.ppp | Test Whether An Object Is A Point Pattern | |
| eroded.areas | Areas of Morphological Erosions | |
| OrdThresh | Ord's Interaction model | |
| is.im | Test Whether An Object Is A Pixel Image | |
| Jmulti | Marked J Function | |
| nndist.psp | Nearest neighbour distances between line segments | |
| dilation | Morphological Dilation | |
| hist.im | Histogram of Pixel Values in an Image | |
| nbfires | Point Patterns of New Brunswick Forest Fires | |
| matchingdist | Distance for a Point Pattern Matching | |
| bw.stoyan | Stoyan's Rule of Thumb for Bandwidth Selection | |
| coef.slrm | Coefficients of Fitted Spatial Logistic Regression Model | |
| clarkevans | Clark and Evans Aggregation Index | |
| complement.owin | Take Complement of a Window | |
| Lest | L-function | |
| clickppp | Interactively Add Points | |
| DiggleGatesStibbard | Diggle-Gates-Stibbard Point Process Model | |
| by.ppp | Apply a Function to a Point Pattern Broken Down by Factor | |
| ewcdf | Weighted Empirical Cumulative Distribution Function | |
| logLik.ppm | Log Likelihood for Poisson Point Process Model | |
| Jcross | Multitype J Function (i-to-j) | |
| latest.news | Print News About Latest Version of Package | |
| area.owin | Area of a Window | |
| SatPiece | Piecewise Constant Saturated Pairwise Interaction Point Process Model | |
| cut.ppp | Classify Points in a Point Pattern | |
| fitted.ppm | Fitted Conditional Intensity for Point Process Model | |
| as.owin | Convert Data To Class owin | |
| Kdot.inhom | Inhomogeneous Multitype K Dot Function | |
| fv | Create a Function Value Table | |
| Kinhom | Inhomogeneous K-function | |
| pcf3est | Pair Correlation Function of a Three-Dimensional Point Pattern | |
| dilated.areas | Areas of Morphological Dilations | |
| Poisson | Poisson Point Process Model | |
| fitin.ppm | Extract the Interaction from a Fitted Point Process Model | |
| is.multitype.ppm | Test Whether A Point Process Model is Multitype | |
| pairs.im | Scatterplot Matrix for Pixel Images | |
| pcfinhom | Inhomogeneous Pair Correlation Function | |
| opening | Morphological Opening | |
| clarkevans.test | Clark and Evans Test | |
| crossdist.psp | Pairwise distances between two different line segment patterns | |
| Iest | Estimate the I-function | |
| markstat | Summarise Marks in Every Neighbourhood in a Point Pattern | |
| affine | Apply Affine Transformation | |
| anemones | Beadlet Anemones Data | |
| compatible.fv | Test Whether Two Function Objects Are Compatible | |
| rMosaicSet | Mosaic Random Set | |
| default.rmhcontrol | Set Default Control Parameters for Metropolis-Hastings Algorithm. | |
| is.subset.owin | Determine Whether One Window is Contained In Another | |
| cut.im | Convert Pixel Image from Numeric to Factor | |
| persp.im | Perspective Plot of Pixel Image | |
| kppm | Fit cluster point process model | |
| compatible.im | Test Whether Two Pixel Images Are Compatible | |
| Replace.im | Reset Values in Subset of Image | |
| osteo | Osteocyte Lacunae Data: Replicated Three-Dimensional Point Patterns | |
| bdist.pixels | Distance to Boundary of Window | |
| lgcp.estpcf | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| quadratresample | Resample a Point Pattern by Resampling Quadrats | |
| Ldot.inhom | Inhomogeneous Multitype L Dot Function | |
| kaplan.meier | Kaplan-Meier Estimator using Histogram Data | |
| as.box3 | Convert Data to Three-Dimensional Box | |
| pairdist.ppp | Pairwise distances | |
| msr | Signed or Vector-Valued Measure | |
| nnwhich.pp3 | Nearest neighbours in three dimensions | |
| Extract.ppp | Extract or Replace Subset of Point Pattern | |
| integral.im | Integral of a Pixel Image | |
| closing | Morphological Closing | |
| colourmap | Colour Lookup Tables | |
| im.object | Class of Images | |
| Ldot | Multitype L-function (i-to-any) | |
| chop.tess | Subdivide a Window or Tessellation using a Set of Lines | |
| MultiStrauss | The Multitype Strauss Point Process Model | |
| distmap.psp | Distance Map of Line Segment Pattern | |
| murchison | Murchison gold deposits | |
| print.psp | Print Brief Details of a Line Segment Pattern Dataset | |
| pcfdot | Multitype pair correlation function (i-to-any) | |
| pairdist.ppx | Pairwise Distances in Any Dimensions | |
| default.expand | Compute Expansion Window for Simulation | |
| Hardcore | The Hard Core Point Process Model | |
| eval.fasp | Evaluate Expression Involving Function Arrays | |
| distmap.ppp | Distance Map of Point Pattern | |
| rescale.owin | Convert Window to Another Unit of Length | |
| density.psp | Kernel Smoothing of Line Segment Pattern | |
| kstest.ppm | Kolmogorov-Smirnov Test for Point Process Model | |
| japanesepines | Japanese Pines Point Pattern | |
| is.multitype | Test whether Object is Multitype | |
| pcfdot.inhom | Inhomogeneous Multitype Pair Correlation Function (Type-i-To-Any-Type) | |
| summary.im | Summarizing a Pixel Image | |
| pairdist.psp | Pairwise distances between line segments | |
| deltametric | Delta Metric | |
| intersect.tess | Intersection of Two Tessellations | |
| rhohat | Smoothing Estimate of Covariate Transformation | |
| ponderosa | Ponderosa Pine Tree Point Pattern | |
| summary.ppm | Summarizing a Fitted Point Process Model | |
| rNeymanScott | Simulate Neyman-Scott Process | |
| Strauss | The Strauss Point Process Model | |
| ppx | Multidimensional Space-Time Point Pattern | |
| rescale.psp | Convert Line Segment Pattern to Another Unit of Length | |
| nndist.pp3 | Nearest neighbour distances in three dimensions | |
| Extract.splitppp | Extract or Replace Sub-Patterns | |
| lgcp.estK | Fit a Log-Gaussian Cox Point Process by Minimum Contrast | |
| lengths.psp | Lengths of Line Segments | |
| plot.pp3 | Plot a three-dimensional point pattern | |
| spokes | Spokes pattern of dummy points | |
| diagnose.ppm | Diagnostic Plots for Fitted Point Process Model | |
| rcell | Simulate Baddeley-Silverman Cell Process | |
| crossdist.ppp | Pairwise distances between two different point patterns | |
| rpoislinetess | Poisson Line Tessellation | |
| square | Square Window | |
| pcf.ppp | Pair Correlation Function of Point Pattern | |
| tiles | Extract List of Tiles in a Tessellation | |
| plot.splitppp | Plot a List of Point Patterns | |
| methods.box3 | Methods for Three-Dimensional Box | |
| shift.ppp | Apply Vector Translation To Point Pattern | |
| letterR | Window in Shape of Letter R | |
| Softcore | The Soft Core Point Process Model | |
| crossdist.pp3 | Pairwise distances between two different three-dimensional point patterns | |
| is.convex | Test Whether a Window is Convex | |
| tile.areas | Compute Areas of Tiles in a Tessellation | |
| ripras | Estimate window from points alone | |
| runifpoint | Generate N Uniform Random Points | |
| areaGain | Difference of Disc Areas | |
| BadGey | Hybrid Geyer Point Process Model | |
| is.owin | Test Whether An Object Is A Window | |
| stieltjes | Compute Integral of Function Against Cumulative Distribution | |
| Linhom | L-function | |
| rstrat | Simulate Stratified Random Point Pattern | |
| spruces | Spruces Point Pattern | |
| demopat | Artificial Data Point Pattern | |
| localpcf | Local pair correlation function | |
| marks.psp | Marks of a Line Segment Pattern | |
| pointsOnLines | Place Points Evenly Along Specified Lines | |
| rpoisppOnLines | Generate Poisson Point Pattern on Line Segments | |
| suffstat | Sufficient Statistic of Point Process Model | |
| as.rectangle | Window Frame | |
| whist | Weighted Histogram | |
| bermantest | Berman's Tests for Point Process Model | |
| with.hyperframe | Evaluate an Expression in Each Row of a Hyperframe | |
| ord.family | Ord Interaction Process Family | |
| LennardJones | The Lennard-Jones Potential | |
| redwoodfull | California Redwoods Point Pattern (Entire Dataset) | |
| eem | Exponential Energy Marks | |
| rmpoint | Generate N Random Multitype Points | |
| Fiksel | The Fiksel Interaction | |
| Pairwise | Generic Pairwise Interaction model | |
| endpoints.psp | Endpoints of Line Segment Pattern | |
| shift.im | Apply Vector Translation To Pixel Image | |
| Saturated | Saturated Pairwise Interaction model | |
| distmap | Distance Map | |
| Geyer | Geyer's Saturation Point Process Model | |
| rmhmodel | Define Point Process Model for Metropolis-Hastings Simulation. | |
| sharpen | Data Sharpening of Point Pattern | |
| volume | Volume of an Object | |
| clickpoly | Interactively Define a Polygon | |
| K3est | K-function of a Three-Dimensional Point Pattern | |
| markcorrint | Mark Correlation Integral | |
| plot.colourmap | Plot a Colour Map | |
| Jest | Estimate the J-function | |
| dirichlet.weights | Compute Quadrature Weights Based on Dirichlet Tessellation | |
| update.kppm | Update a Fitted Cluster Point Process Model | |
| colourtools | Convert and Compare Colours in Different Formats | |
| pairsat.family | Saturated Pairwise Interaction Point Process Family | |
| areaLoss | Difference of Disc Areas | |
| plot.psp | plot a Spatial Line Segment Pattern | |
| plot.ppp | plot a Spatial Point Pattern | |
| Kdot | Multitype K Function (i-to-any) | |
| residuals.ppm | Residuals for Fitted Point Process Model | |
| rGaussPoisson | Simulate Gauss-Poisson Process | |
| Kest | K-function | |
| bronzefilter | Bronze gradient filter data | |
| marktable | Tabulate Marks in Neighbourhood of Every Point in a Point Pattern | |
| rmhmodel.default | Build Point Process Model for Metropolis-Hastings Simulation. | |
| applynbd | Apply Function to Every Neighbourhood in a Point Pattern | |
| matclust.estK | Fit the Matern Cluster Point Process by Minimum Contrast | |
| Extract.msr | Extract Subset of Signed or Vector Measure | |
| pppmatching | Create a Point Matching | |
| pixellate.ppp | Convert Point Pattern to Pixel Image | |
| Lcross.inhom | Inhomogeneous Cross Type L Function | |
| rStrauss | Perfect Simulation of the Strauss Process | |
| is.marked.ppm | Test Whether A Point Process Model is Marked | |
| pcfcross | Multitype pair correlation function (cross-type) | |
| shift | Apply Vector Translation | |
| nndist | Nearest neighbour distances | |
| union.quad | Union of Data and Dummy Points | |
| density.ppp | Kernel Smoothed Intensity of Point Pattern | |
| envelope | Simulation Envelopes of Summary Function | |
| spatstat-deprecated | Deprecated spatstat functions | |
| rpoispp3 | Generate Poisson Point Pattern in Three Dimensions | |
| print.im | Print Brief Details of an Image | |
| plot.msr | Plot a Signed or Vector-Valued Measure | |
| is.ppm | Test Whether An Object Is A Fitted Point Process Model | |
| midpoints.psp | Midpoints of Line Segment Pattern | |
| tess | Create a Tessellation | |
| rpoispp | Generate Poisson Point Pattern | |
| quadscheme | Generate a Quadrature Scheme from a Point Pattern | |
| Extract.quad | Subset of Quadrature Scheme | |
| Ord | Generic Ord Interaction model | |
| hamster | Aherne's hamster tumour data | |
| density.splitppp | Kernel Smoothed Intensity of Split Point Pattern | |
| incircle | Find Largest Circle Inside Window | |
| gridcentres | Rectangular grid of points | |
| rmhmodel.ppm | Interpret Fitted Model for Metropolis-Hastings Simulation. | |
| print.quad | Print a Quadrature Scheme | |
| dirichlet | Dirichlet Tessellation of Point Pattern | |
| summary.ppp | Summary of a Point Pattern Dataset | |
| is.empty | Test Whether An Object Is Empty | |
| F3est | Empty Space Function of a Three-Dimensional Point Pattern | |
| erosion | Morphological Erosion | |
| disc | Circular Window | |
| redwood | California Redwoods Point Pattern (Ripley's Subset) | |
| npoints | Number of Points in a Point Pattern | |
| thomas.estK | Fit the Thomas Point Process by Minimum Contrast | |
| smooth.msr | Smooth a Signed or Vector-Valued Measure | |
| clip.infline | Intersect Infinite Straight Lines with a Window | |
| finpines | Pine saplings in Finland. | |
| simplify.owin | Approximate a Polygon by a Simpler Polygon | |
| Kmulti | Marked K-Function | |
| rmhstart | Determine Initial State for Metropolis-Hastings Simulation. | |
| convexhull | Convex Hull | |
| allstats | Calculate four standard summary functions of a point pattern. | |
| hyperframe | Hyper Data Frame | |
| crossdist | Pairwise distances | |
| ppp | Create a Point Pattern | |
| rmh | Simulate point patterns using the Metropolis-Hastings algorithm. | |
| spatstat-package | The Spatstat Package | |
| trim.rectangle | Cut margins from rectangle | |
| lansing | Lansing Woods Point Pattern | |
| fasp.object | Function Arrays for Spatial Patterns | |
| unmark | Remove Marks | |
| Gfox | Foxall's Distance Functions | |
| rshift.splitppp | Randomly Shift a List of Point Patterns | |
| simdat | Simulated Point Pattern | |
| diameter | Diameter of an Object | |
| rmhmodel.list | Define Point Process Model for Metropolis-Hastings Simulation. | |
| Gcross | Multitype Nearest Neighbour Distance Function (i-to-j) | |
| markvario | Mark Variogram | |
| summary.listof | Summary of a List of Things | |
| superimposePSP | Superimpose Several Line Segment Patterns | |
| psp.object | Class of Line Segment Patterns | |
| progressreport | Print Progress Reports | |
| residualspaper | Data and Code From JRSS Discussion Paper on Residuals | |
| bei | Tropical rain forest trees | |
| methods.boxx | Methods for Multi-Dimensional Box | |
| rjitter | Random Perturbation of a Point Pattern | |
| centroid.owin | Centroid of a window | |
| matclust.estpcf | Fit the Matern Cluster Point Process by Minimum Contrast Using Pair Correlation | |
| simulate.ppm | Simulate a Fitted Gibbs Point Process Model | |
| effectfun | Compute Fitted Effect of a Spatial Covariate in a Point Process Model | |
| project2segment | Move Point To Nearest Line | |
| MultiHard | The Multitype Hard Core Point Process Model | |
| StraussHard | The Strauss / Hard Core Point Process Model | |
| Jdot | Multitype J Function (i-to-any) | |
| cells | Biological Cells Point Pattern | |
| rlabel | Random Re-Labelling of Point Pattern | |
| distfun | Distance Map as a Function | |
| betacells | Beta Ganglion Cells in Cat Retina | |
| periodify | Make Periodic Copies of a Spatial Pattern | |
| is.marked | Test Whether Marks Are Present | |
| miplot | Morishita Index Plot | |
| plot.quad | plot a Spatial Quadrature Scheme | |
| coords | Extract or Change Coordinates of a Spatial or Spatiotemporal Point Pattern | |
| pppdist | Distance Between Two Point Patterns | |
| markconnect | Mark Connection Function | |
| PairPiece | The Piecewise Constant Pairwise Interaction Point Process Model | |
| pcfcross.inhom | Inhomogeneous Multitype Pair Correlation Function (Cross-Type) | |
| lurking | Lurking variable plot | |
| ants | Harkness-Isham ants' nests data | |
| anova.slrm | Analysis of Deviance for Spatial Logistic Regression Models | |
| is.marked.ppp | Test Whether A Point Pattern is Marked | |
| rmh.ppm | Simulate from a Fitted Point Process Model | |
| owin.object | Class owin | |
| as.data.frame.hyperframe | Coerce Hyperframe to Data Frame | |
| im | Create a Pixel Image Object | |
| relrisk | Nonparametric Estimate of Spatially-Varying Relative Risk | |
| crossdist.default | Pairwise distances between two different sets of points | |
| thomas.estpcf | Fit the Thomas Point Process by Minimum Contrast | |
| as.ppp | Convert Data To Class ppp | |
| predict.kppm | Prediction from a Fitted Cluster Point Process Model | |
| istat | Point and Click Interface for Exploratory Analysis of Point Pattern | |
| infline | Infinite Straight Lines | |
| as.hyperframe.ppx | Extract coordinates and marks of multidimensional point pattern | |
| as.im | Convert to Pixel Image | |
| quad.ppm | Extract Quadrature Scheme Used to Fit a Point Process Model | |
| boxx | Multi-Dimensional Box | |
| affine.owin | Apply Affine Transformation To Window | |
| rescale | Convert dataset to another unit of length | |
| pixellate.psp | Convert Line Segment Pattern to Pixel Image | |
| discretise | Safely Convert Point Pattern Window to Binary Mask | |
| pairwise.family | Pairwise Interaction Process Family | |
| markcorr | Mark Correlation Function | |
| bind.fv | Combine Function Value Tables | |
| model.frame.ppm | Extract the Environment of a Point Process Model | |
| rshift | Random Shift | |
| plot.ppm | plot a Fitted Point Process Model | |
| as.data.frame.ppp | Coerce Point Pattern to a Data Frame | |
| quad.object | Class of Quadrature Schemes | |
| contour.im | Contour plot of pixel image | |
| rsyst | Simulate systematic random point pattern | |
| Kscaled | Locally Scaled K-function | |
| rotate.ppp | Rotate a Point Pattern | |
| is.multitype.ppp | Test Whether A Point Pattern is Multitype | |
| Kcross | Multitype K Function (Cross-type) | |
| bramblecanes | Hutchings' Bramble Canes data | |
| AreaInter | The Area Interaction Point Process Model | |
| identify.ppp | Identify Points in a Point Pattern | |
| chorley | Chorley-Ribble Cancer Data | |
| rMaternI | Simulate Matern Model I | |
| longleaf | Longleaf Pines Point Pattern | |
| diameter.boxx | Geometrical Calculations for Multi-Dimensional Box | |
| expand.owin | Expand Window By Factor | |
| plot.im | Plot a Pixel Image | |
| rpoisppx | Generate Poisson Point Pattern in Any Dimensions | |
| rMaternII | Simulate Matern Model II | |
| heather | Diggle's Heather Data | |
| box3 | Three-Dimensional Box | |
| nncross | Nearest Neighbours Between Two Patterns | |
| identify.psp | Identify Segments in a Line Segment Pattern | |
| gpc2owin | Convert Polygonal Region into Different Format | |
| lut | Lookup Tables | |
| km.rs | Kaplan-Meier and Reduced Sample Estimator using Histograms | |
| levelset | Level Set of a Pixel Image | |
| shapley | Galaxies in the Shapley Supercluster | |
| pcf.fv | Pair Correlation Function obtained from K Function | |
| unitname | Name for Unit of Length | |
| nsegments | Number of Line Segments in a Line Segment Pattern | |
| unique.ppp | Extract Unique Points from a Spatial Point Pattern | |
| append.psp | Combine Two Line Segment Patterns | |
| rThomas | Simulate Thomas Process | |
| plot.tess | Plot a tessellation | |
| rMatClust | Simulate Matern Cluster Process | |
| inforder.family | Infinite Order Interaction Family | |
| plot.owin | Plot a Spatial Window | |
| model.matrix.ppm | Extract Design Matrix from Point Process Model | |
| pixelquad | Quadrature Scheme Based on Pixel Grid | |
| reduced.sample | Reduced Sample Estimator using Histogram Data | |
| logLik.slrm | Loglikelihood of Spatial Logistic Regression | |
| superimpose | Superimpose Several Point Patterns | |
| Kcross.inhom | Inhomogeneous Cross K Function | |
| nnclean | Nearest Neighbour Clutter Removal | |
| setcov | Set Covariance of a Window | |
| nztrees | New Zealand Trees Point Pattern | |
| runifpoint3 | Generate N Uniform Random Points in Three Dimensions | |
| pp3 | Three Dimensional Point Pattern | |
| spatstat-internal | Internal spatstat functions | |
| pixellate.owin | Convert Window to Pixel Image | |
| predict.slrm | Predicted or Fitted Values from Spatial Logistic Regression | |
| solutionset | Evaluate Logical Expression Involving Pixel Images and Return Region Where Expression is True | |
| eval.im | Evaluate Expression Involving Pixel Images | |
| update.ppm | Update a Fitted Point Process Model | |
| qqplot.ppm | Q-Q Plot of Residuals from Fitted Point Process Model | |
| quadrat.test.splitppp | Chi-Squared Test of CSR for Split Point Pattern | |
| rthin | Random Thinning | |
| swedishpines | Swedish Pines Point Pattern | |
| ppm.object | Class of Fitted Point Process Models | |
| print.ppm | Print a Fitted Point Process Model | |
| selfcrossing.psp | Crossing Points in a Line Segment Pattern | |
| as.data.frame.psp | Coerce Line Segment Pattern to a Data Frame | |
| plot.hyperframe | Plot Entries in a Hyperframe | |
| predict.ppm | Prediction from a Fitted Point Process Model | |
| quadratcount | Quadrat counting for a point pattern | |
| bw.relrisk | Cross Validated Bandwidth Selection for Relative Risk Estimation | |
| fitted.slrm | Fitted Probabilities for Spatial Logistic Regression | |
| mean.im | Maximum, Minimum, Mean, Median, Range or Sum of Pixel Values in an Image | |
| compatible.fasp | Test Whether Two Function Arrays Are Compatible | |
| shift.psp | Apply Vector Translation To Line Segment Pattern | |
| quantile.im | Sample Quantiles of Pixel Image | |
| Gmulti | Marked Nearest Neighbour Distance Function | |
| rshift.ppp | Randomly Shift a Point Pattern | |
| default.dummy | Generate a Default Pattern of Dummy Points | |
| blur | Apply Gaussian Blur to a Pixel Image | |
| as.hyperframe | Convert Data to Hyperframe | |
| print.owin | Print Brief Details of a Spatial Window | |
| runifpointx | Generate N Uniform Random Points in Any Dimensions | |
| plot.kppm | Plot a fitted cluster point process | |
| pairdist.pp3 | Pairwise distances in Three Dimensions | |
| duplicated.ppp | Determine Duplicated Points in a Spatial Point Pattern | |
| Kmeasure | Reduced Second Moment Measure | |
| rescale.im | Convert Pixel Image to Another Unit of Length | |
| rmpoispp | Generate Multitype Poisson Point Pattern | |
| slrm | Spatial Logistic Regression | |
| nncorr | Nearest-Neighbour Correlation Indices of Marked Point Pattern | |
| border | Border Region of a Window | |
| psp | Create a Line Segment Pattern | |
| rotate.psp | Rotate a Line Segment Pattern | |
| vertices | Vertices of a Window | |
| rlinegrid | Generate grid of parallel lines with random displacement | |
| bounding.box.xy | Convex Hull of Points | |
| raster.x | Cartesian Coordinates for a Pixel Raster | |
| humberside | Humberside Data on Childhood Leukaemia and Lymphoma | |
| fv.object | Data Frames of Function Values | |
| runifdisc | Generate N Uniform Random Points in a Disc | |
| print.ppp | Print Brief Details of a Point Pattern Dataset | |
| nearestsegment | Find Line Segment Nearest to Each Point | |
| nndist.ppx | Nearest Neighbour Distances in Any Dimensions | |
| scanpp | Read Point Pattern From Data File | |
| split.im | Divide Image Into Sub-images | |
| rotate.owin | Rotate a Window | |
| crossing.psp | Crossing Points of Two Line Segment Patterns | |
| ppm | Fit Point Process Model to Data | |
| ppp.object | Class of Point Patterns | |
| Extract.psp | Extract Subset of Line Segment Pattern | |
| rmh.default | Simulate Point Process Models using the Metropolis-Hastings Algorithm. | |
| methods.ppx | Methods for Multidimensional Space-Time Point Patterns | |
| harmonic | Basis for Harmonic Functions | |
| plot.listof | Plot a List of Things | |
| shift.owin | Apply Vector Translation To Window | |
| distmap.owin | Distance Map of Window | |
| nnwhich.ppx | Nearest Neighbours in Any Dimensions | |
| smooth.ppp | Spatial smoothing of observations at irregular points | |
| summary.psp | Summary of a Line Segment Pattern Dataset | |
| rmhcontrol | Set Control Parameters for Metropolis-Hastings Algorithm. | |
| plot.plotppm | Plot a plotppm Object Created by plot.ppm | |
| varblock | Estimate Variance of Summary Statistic by Subdivision | |
| smooth.fv | Apply Smoothing to Function Values | |
| pairdist.default | Pairwise distances | |
| plot.fasp | Plot a Function Array | |
| rescue.rectangle | Convert Window Back To Rectangle | |
| methods.pp3 | Methods for three-dimensional point patterns | |
| interp.im | Interpolate a Pixel Image | |
| with.fv | Evaluate an Expression in a Function Table | |
| plot.fv | Plot Function Values | |
| split.ppp | Divide Point Pattern into Sub-patterns | |
| rMosaicField | Mosaic Random Field | |
| which.max.im | Identify Pixelwise Maximum of Several Pixel Images | |
| perimeter | Perimeter Length of Window | |
| vcov.ppm | Variance-Covariance Matrix for a Fitted Point Process Model | |
| summary.quad | Summarizing a Quadrature Scheme | |
| delaunay | Delaunay Triangulation of Point Pattern | |
| gridweights | Compute Quadrature Weights Based on Grid Counts | |
| as.mask | Pixel Image Approximation of a Window | |
| Extract.listof | Extract or Replace Subset of a List of Things | |
| as.psp | Convert Data To Class psp | |
| convexhull.xy | Convex Hull of Points | |
| Fest | Estimate the empty space function F | |
| adaptive.density | Intensity Estimate of Point Pattern Using Tessellation | |
| Gest | Nearest Neighbour Distance Function G | |
| Extract.fv | Extract Subset of Function Values | |
| bdist.tiles | Distance to Boundary of Window | |
| connected | Connected components of an image or window | |
| collapse.fv | Collapse Several Function Tables into One | |
| diameter.box3 | Geometrical Calculations for Three-Dimensional Box | |
| diameter.owin | Diameter of a Window | |
| as.mask.psp | Convert Line Segment Pattern to Binary Pixel Mask | |
| by.im | Apply Function to Image Broken Down by Factor | |
| Extract.fasp | Extract Subset of Function Array | |
| MultiStraussHard | The Multitype/Hard Core Strauss Point Process Model | |
| nnwhich | Nearest neighbour | |
| Extract.tess | Extract or Replace Subset of Tessellation | |
| Gdot | Multitype Nearest Neighbour Distance Function (i-to-any) | |
| as.matrix.im | Convert Pixel Image to Matrix or Array | |
| eval.fv | Evaluate Expression Involving Functions | |
| discpartarea | Area of Part of Disc | |
| copper | Berman-Huntington points and lines data | |
| amacrine | Hughes' Amacrine Cell Data | |
| pixellate | Convert Spatial Object to Pixel Image | |
| plot.bermantest | Plot Result of Berman Test | |
| localK | Neighbourhood density function | |
| ganglia | Beta Ganglion Cells in Cat Retina, Old Version | |
| fryplot | Fry Plot of Point Pattern | |
| plot.kstest | Plot a Spatial Kolmogorov-Smirnov Test | |
| inside.owin | Test Whether Points Are Inside A Window | |
| data.ppm | Extract Original Data from a Fitted Point Process Model | |
| plot.slrm | Plot a Fitted Spatial Logistic Regression | |
| as.tess | Convert Data To Tessellation | |
| rescale.ppp | Convert Point Pattern to Another Unit of Length | |
| mincontrast | Method of Minimum Contrast | |
| coef.ppm | Coefficients of Fitted Point Process Model | |
| Lcross | Multitype L-function (cross-type) | |
| methods.distfun | Methods for Distance Functions | |
| pcf.fasp | Pair Correlation Function obtained from array of K functions | |
| pppmatching.object | Class of Point Matchings | |
| rshift.psp | Randomly Shift a Line Segment Pattern | |
| quadrat.test | Chi-Squared Dispersion Test for Spatial Point Pattern Based on Quadrat Counts | |
| pcf | Pair Correlation Function | |
| summary.owin | Summary of a Spatial Window | |
| rotate | Rotate | |
| rSSI | Simulate Simple Sequential Inhibition | |
| cbind.hyperframe | Combine Hyperframes by Rows or by Columns | |
| urkiola | Urkiola Woods Point Pattern | |
| rknn | Theoretical Distribution of Nearest Neighbour Distance | |
| model.images | Compute Images of Constructed Covariates | |
| corners | Corners of a rectangle | |
| dummy.ppm | Extract Dummy Points Used to Fit a Point Process Model | |
| iplot | Point and Click Interface for Displaying a Point Pattern | |
| summary.splitppp | Summary of a Split Point Pattern | |
| nearest.raster.point | Find Pixel Nearest to a Given Point | |
| rpoisline | Generate Poisson Random Line Process | |
| runifpointOnLines | Generate N Uniform Random Points On Line Segments | |
| owin | Create a Window | |
| intersect.owin | Intersection, Union or Set Subtraction of Two Windows | |
| marks | Marks of a Point Pattern | |
| profilepl | Profile Maximum Pseudolikelihood | |
| quadrats | Divide Region into Quadrats | |
| plot.envelope | Plot a Simulation Envelope | |
| rpoint | Generate N Random Points | |
| pairdist | Pairwise distances | |
| spatstat.options | Internal Options in Spatstat Package | |
| reach | Interaction Distance of a Point Process | |
| simulate.kppm | Simulate a Fitted Cluster Point Process Model | |
| multiplicity.ppp | Count Multiplicity of Duplicate Points | |
| envelope.pp3 | Simulation Envelopes of Summary Function for 3D Point Pattern | |
| No Results! | ||
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Details
| Date | 2011-04-25 |
| License | GPL (>= 2) |
| URL | http://www.spatstat.org |
| Packaged | 2011-03-25 05:20:01 UTC; adrian |
| Repository | CRAN |
| Date/Publication | 2011-03-26 15:45:24 |
| depends | base (>= 2.10.0) , deldir (>= 0.0-10) , graphics , mgcv , R (>= 2.10.0) , stats , utils |
| suggests | gpclib , maptools , rpanel , scatterplot3d , sm , tkrplot |
| Contributors | Rolf Turner, Adrian Baddeley |
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